Name
Abstract | ||
|---|---|---|
We propose a new vegetation index using TIR (thermal infrared) to estimate green coverage of vegetable crops from an airborne hyperspectral image, which is affected by their background of plastic film covering the ground. The amount of water content is different from green coverage of vegetables, and it leads to difference of temperature correlated with TIR. We propose a new vegetation index TIR expanded NDVI (TENDVI) and evaluate its effectiveness to estimate green coverage of vegetables. The evaluation result using an airborne hyperspectral image and ground truth data shows that TENDVI can estimate green coverage more preciously than NDVI. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1026412 | IGARSS |
Keywords | Field | DocType |
agriculture,geophysical techniques,vegetation mapping,chinese cabbage,ir,tendvi,tir,tir expanded ndvi,airborne method,crops,geophysical measurement technique,green coverage estimation,green vegetable,hyperspectral remote sensing,infrared,lettuce,multispectral remote sensing,plastic film,thermal infrared,vegetation index,visible,water content,spatial resolution,ground truth,hyperspectral sensors,hyperspectral imaging,remote sensing | Soil science,Thermal infrared,Computer science,Vegetation Index,Remote sensing,Hyperspectral imaging,Ground truth,Normalized Difference Vegetation Index,Multispectral pattern recognition,Water content,Image resolution | Conference |
Volume | Citations | PageRank |
4 | 1 | 0.38 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naoko Kosaka | 1 | 16 | 11.70 |
| Miyazaki, S. | 2 | 1 | 0.38 |
| Inoue, U. | 3 | 1 | 0.38 |